Geographic Graph Network for Robust Inversion of Particulate Matters
Although remote sensors have been increasingly providing dense data and deriving reanalysis data for inversion of particulate matters, the use of these data is considerably limited by the ground monitoring samples and conventional machine learning models. As regional criteria air pollutants, particu...
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| Formato: | article |
| Lenguaje: | EN |
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MDPI AG
2021
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| Acceso en línea: | https://doaj.org/article/5c9ce40044584b0c87f31633bf973a43 |
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